Results 31 to 40 of about 870,154 (291)
Learning Deconvolutional Network for Object Tracking
IEEE Access, 2018 Object tracking can be tackled by learning a model of tracking the target's appearance sequentially. Therefore, robust appearance representation is a critical step in visual tracking. Recently, deep convolution network has demonstrated remarkable ability
Xiankai Lu +3 more
doaj +1 more source
Motion analysis by feature tracking
Vision Research, 1998 We have developed a two-stage model of motion perception that identifies moving spatial features and computes their velocity, achieving both high spatial localisation and reliable estimates of velocity. Features are detected in each frame by locating the peaks of the spatial local energy functions, as for stationary images (Morrone MC and Burr DC. Proc
Del Viva MM, MORRONE, MARIA CONCETTA
openaire +3 more sources
Adaptive Constraints for Feature Tracking [PDF]
Monthly Weather Review, 1999 In this paper extensions to an existing tracking algorithm are described.\ud These extensions implement adaptive tracking constraints in the form\ud of regional upper-bound displacements and an adaptive track smoothness\ud constraint. Together, these constraints make the tracking algorithm\ud more flexible than the original algorithm (which used fixed ...
openaire +1 more source
Automated tracking of colloidal clusters with sub-pixel accuracy and precision [PDF]
, 2016 Quantitative tracking of features from video images is a basic technique employed in many areas of science. Here, we present a method for the tracking of features that partially overlap, in order to be able to track so-called colloidal molecules.
Kraft, Daniela J., van der Wel, Casper
core +3 more sources
Frontiers in Cardiovascular Medicine, 2023 BackgroundPrompt interventions prevent adverse events (AE) in hypertrophic cardiomyopathy (HCM). We evaluated the pattern and the predictive role of feature tracking (FT)-cardiac magnetic resonance (CMR) imaging parameters in an HCM population with a ...
Alireza Salmanipour +7 more
doaj +1 more source
Deriving Ocean Surface Drift Using Multiple SAR Sensors
Remote Sensing, 2009 Tracking and monitoring ocean features which have short coherent time periods from sequential satellite images requires that the images have both very high spatial resolutions and short temporal sampling intervals (i.e., repeated cycles).
Ming-Kuang Hsu, Antony K. Liu
doaj +1 more source
End-to-end Flow Correlation Tracking with Spatial-temporal Attention
, 2018 Discriminative correlation filters (DCF) with deep convolutional features have achieved favorable performance in recent tracking benchmarks. However, most of existing DCF trackers only consider appearance features of current frame, and hardly benefit ...
Wu, Wei +3 more
core +1 more source
Remote Sensing, 2017 Sea ice drift strongly influences sea ice thickness distribution and indirectly controls air-sea ice-ocean interactions. Estimating sea ice drift over a large range of spatial and temporal scales is therefore needed to characterize the properties of sea ...
Anton Andreevich Korosov, Pierre Rampal
doaj +1 more source
Rain Removal in Traffic Surveillance: Does it Matter? [PDF]
, 2018 Varying weather conditions, including rainfall and snowfall, are generally regarded as a challenge for computer vision algorithms. One proposed solution to the challenges induced by rain and snowfall is to artificially remove the rain from images or ...
Bahnsen, Chris H., Moeslund, Thomas B.
core +2 more sources
The role of feature tracking in the furrow illusion
Frontiers in Human Neuroscience, 2016 In the furrow illusion (Anstis, 2012), the perceived path of a moving target follows the veridical path orientation when viewed foveally, but follows the orientation of the texture when viewed peripherally.
Rémy eAllard, Jocelyn eFaubert
doaj +1 more source